ReviewBriefings in bioinformatics2023
Computational approaches for circRNAs prediction and in silico characterization.
Review in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- The circular RNA landscape: Biogenesis, functions, identification pipelines, and biomedical applications.Non-coding RNA research · 2026Review
- Revealing the Modulatory Role of Microsporidian circRNAs in the Infection of Honey Bee Workers.Insects · 2026Article
- Review
- Circular RNAs orchestrating breast cancer hallmarks: bridging tumor biology and therapy resistance.Functional & integrative genomics · 2025Review
- Circular RNA circFat3 as a biomarker for construction of postmortem interval Estimation models in mouse brain tissues at multiple temperatures.Scientific reports · 2025Article
- Circular RNAs in neurological conditions - computational identification, functional validation, and potential clinical applications.Molecular psychiatry · 2025Review
- Article
- Article
- Regulatory mechanism of circular RNAs in brain and neurodegenerative diseases.Frontiers in molecular neuroscience · 2025Review
- Comprehensive circular RNA profiling in various sheep tissues.Scientific reports · 2024Article
- DCDA: CircRNA-Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder.Interdisciplinary sciences, computational life sciences · 2024Article
- Circular RNAs in hepatocellular carcinoma: biogenesis, function, and pathology.Frontiers in genetics · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circular RNAs (circRNAs) are single-stranded and covalently closed non-coding RNA molecules originated from RNA splicing. Their functions include regulatory potential over other RNA species, such as microRNAs, messenger RNAs and RNA binding proteins. For circRNA identification, several algorithms are available and can be classified in two major types: pseudo-reference-based and split-alignment-based approaches. In general, the data generated from circRNA transcriptome initiatives is deposited on public specific databases, which provide a large amount of information on different species and functional annotations. In this review, we describe the main computational resources for the identification and characterization of circRNAs, covering the algorithms and predictive tools to evaluate its potential role in a particular transcriptomics project, including the public repositories containing relevant data and information for circRNAs, recapitulating their characteristics, reliability and amount of data reported.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.